Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Development of artificial intelligence-based air pollution analysis and prediction system using local environmental variables

지역환경변수를 이용한 인공지능기반 대기오염 분석 및 예측 시스템 개발

  • Back, Bong-Hyun (Department of Computer Engineering, Yeungnam University) ;
  • Ha, Il-Kyu (Department of Computer Engineering, Kyungil University)
  • Received : 2020.10.26
  • Accepted : 2020.12.24
  • Published : 2021.01.31
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Abstract

The air pollution problem caused by industrialization in recent years is attracting great attention to both the country and the people. Domestic wide-area air pollution information is provided to the public through public data nationally, but regional air pollution information with different environmental variables is very insufficient. Therefore, in this study, we design and implement an air pollution analysis and prediction system based on regional environmental variables that can more accurately analyze and predict regional air pollution phenomena. In particular, the proposed system accurately analyzes and provides regional atmospheric information based on environmental data measured locally and public big data, and predicts and presents future regional atmospheric information using artificial intelligence algorithms. Furthermore, through the proposed system, it is expected that local air pollution can be prevented by accurately identifying the cause of regional air pollution.

최근 산업화에 따른 대기오염 문제는 국가와 국민 모두에 큰 관심을 끌고 있다. 국내의 광역(廣域) 대기오염 정보는 국가적으로 공공 데이터를 통해 국민에게 제공하고 있으나, 환경변수가 다른 지역적인 대기오염 정보는 매우 부족한 상황이다. 따라서 본 연구에서는 지역적인 대기오염 현상을 보다 정확하게 분석하고 예측할 수 있는 지역 환경변수 기반의 대기오염 분석 및 예측 시스템을 설계하고 구현한다. 특히 제안한 시스템은 지역적으로 측정된 환경 데이터와 공공 빅데이터를 기반으로 지역의 대기정보를 정확하게 분석하여 제공하고, 인공지능 알고리즘을 통해 미래의 지역 대기정보를 예측하여 제시한다. 나아가 제안된 시스템을 통해 지역적인 대기오염의 발생 원인을 정확하게 파악하여 지역의 대기오염을 예방할 수 있을 것으로 기대할 수 있다.

Keywords

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